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A robust estimation of distribution algorithm for power electronic circuits design

Authors
Zhong, Jing-HuiZhang, Jun
Issue Date
Jul-2010
Publisher
ACM
Keywords
Estimation of distribution algorithm; Evolutionary algorithm; Histogram; Power electronic circuits
Citation
GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pp 319 - 326
Pages
8
Indexed
SCOPUS
Journal Title
GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation
Start Page
319
End Page
326
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117802
DOI
10.1145/1830483.1830545
Abstract
The automated synthesis and optimization of power electronic circuits (PECs) is a significant and challenging task in the field of power electronics. Traditional methods such as the gradient-based methods, the hill-climbing techniques and the genetic algorithms (GA), are either prone to local optima or not efficient enough to find highly accurate solutions for this problem. To better optimize the design of PECs, this paper presents an extended histogram-based estimation of distribution algorithm with, an adaptive refinement process (EDA/a-r). In the EDA/a-r, the histogram-based estimation of distribution algorithm is used to roughly locate the global optimum, while the adaptive refinement process is used to improve the accuracy of solutions. The adaptive refinement process, with its search radius adjusted adaptively during the evolution, is executed to search the surrounding region of the best-so-far solution in every generation. To maintain the diversity, a historic learning strategy is used in constructing the probabilistic model and a mutation strategy is hybridized in the sampling operation. The proposed EDA/a-r has been successfully used to optimize the design of a buck regulator. Experimental results show that compared with the GA and the particle swarm optimization (PSO), the EDA/a-r can obtain much better mean solution quality and is less likely to be trapped into local optima. Copyright 2010 ACM.
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ZHANG, Jun
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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